> Markdown version of [/jobs/ext/3395943-ai-strategist-machine-intelligence](https://www.wearedevelopers.com/jobs/ext/3395943-ai-strategist-machine-intelligence). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AI Strategist / Machine Intelligence

- **Company:** Rios Inc
- **Location:** Arlington, VA, United States
- **Salary:** $228,800.0 - $291,200.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Computer Vision, EHealth, Graph Database, Interoperability, Machine Learning, Natural Language Processing, Performance Tuning, Fast Healthcare Interoperability Resources, Electronic Medical Records, Data Management, Machine Learning Operations, Software Version Control
- **Published:** September 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=9806698ae8ba0899

## About the Role

* Healthcare or life sciences AI strategy
 * Machine learning and statistical modeling
 * ModelOps or MLOps platforms
 * Healthcare data architecture and interoperability
 * Synthetic data and cohort development
 * AI governance, ethics, validation, and risk management
 * Executive communication and technical leadership

## Description

Serves as the senior technical authority for artificial intelligence, machine learning, advanced analytics, and AI-enabled digital health strategy. Leads the technical and strategic approach for evaluating, designing, implementing, governing, and scaling emerging technologies across the Digital Health Pipeline., * Develop AI and machine intelligence strategies aligned with DHO, Strat Lab, VA healthcare priorities, and the digital health product lifecycle.

 * Lead technology assessments, needs assessments, market research, feasibility studies, and risk analyses for emerging AI-enabled healthcare solutions.
 * Define AI solution architectures that integrate structured and unstructured healthcare data, including electronic health records, medical images, wearable-device data, patient-generated health data, and omics data.
 * Guide development of clinical and administrative decision-support and intake solutions that use or interface with VA data platforms, FHIR-based APIs, and relevant VA datasets.
 * Establish ModelOps or MLOps approaches for model development, validation, deployment, monitoring, retraining, version control, and retirement.
 * Lead development of AI performance measures addressing clinical, operational, financial, usability, fairness, safety, scalability, and integration outcomes.
 * Advise on synthetic data, knowledge graphs, natural language processing, computer vision, predictive analytics, and other advanced AI methods suitable for VA use cases.
 * Identify privacy, security, ethical, model-risk, interoperability, workflow, and adoption risks and recommend mitigation strategies.
 * Support discovery sprints, prototypes, pilots, testing, post-deployment evaluations, performance optimization, and enterprise scaling decisions.
 * Translate complex AI findings into executive briefings, roadmaps, governance recommendations, technical documentation, and decision-ready options for VA leadership.
 * Mentor data science and analytics staff and provide technical quality review of AI-related work products.